Deep Fusion of Polystatic MIMO Radars with The Internet of Vehicles for Interference-free Environmental Perception

Inactive Publication Date: 2016-08-04
LI WENHUA +1
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  • Application Information

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Benefits of technology

[0011]Deep fusion means that the internal radar signal processing algorithms are enhanced with the aid of cooperative sensors. The typical radar signal processing modules include matched filter, detection, range-doppler processing, angle estimation, internal radar tracking, and association. Conventional radar signal processing is difficult

Problems solved by technology

Because of the big size and high price, LIDAR is less popular than RF radar in the present market.
This interference problem for both RF radar and LIDAR will become more and more severe because eventually every vehicle will be deployed with radars.
Because of the frequency band limit, the radar interference may be not overcome completely, especi

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  • Deep Fusion of Polystatic MIMO Radars with The Internet of Vehicles for Interference-free Environmental Perception
  • Deep Fusion of Polystatic MIMO Radars with The Internet of Vehicles for Interference-free Environmental Perception
  • Deep Fusion of Polystatic MIMO Radars with The Internet of Vehicles for Interference-free Environmental Perception

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Embodiment Construction

[0026]FIG. 1 shows the block diagram of the deep fusion system of polystatic MIMO radars with the internet of vehicles for inter-radar interference-free environmental perception. The deep fusion system on each vehicle mainly consists of: (1) polystatic MIMO radar: Receiver antenna 004, transmitter antenna 005, RF / LIDAR frontend 006, data association 003, matched filter 007, detection 008, range-doppler processing 009, angle estimation 010, tracking 011. For different radar types, the polystatic MIMO radar may have different sub-modules; (2) Passive EOIR subsystem: EOIR sensor 012, detection 013, tracking 014; (3) Self-localization / navigation subsystem: GPS / IMU 015, vision / map 016, self-localization / navigation algorithm 017; (4) Internet of Vehicles: V2X (V2V and V2I) 001, transmitter / receiver antenna 002; (5) multi-sensor registration and fusion module 018; (6) Sensor management module 019 which manages the sensor resources including time / frequency / code resources, power control, etc...

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Abstract

This invention is related to a deep multi-sensor fusion system for inter-radar interference-free environmental perception comprising of (1) polystatic Multi-Input Multi-Output (MIMO) radars such as radio frequency radar and laser radar; (2) vehicle self-localization and navigation; (3) the Internet of Vehicles (IoV) including Vehicle-to-Vehicle communication (V2V), Vehicle-to-Infrastructure communication (V2I), other communication systems, data center/cloud; (4) passive sensors such as EOIR, and (5) deep multi-sensor fusion algorithms. The self-localization sensors and V2X formulate cooperative sensors. The polystatic MIMO radar on each vehicle utilizes both its own transmitted radar signals and ones from other vehicles to detect obstacles. The transmitted radar signals from other vehicles are not considered as interference or uselessness as conventional radars, but considered as useful signals to formulate a polystatic MIMO radar which can overcome the interference problem and improve the radar performance. This invention can be applied to all kinds of vehicles and robotics.

Description

TECHNICAL FIELD[0001]This invention relates to a deep fusion system of polystatic MIMO radars with the Internet of Vehicles (IoV), which can provide inter-radar interference-free environmental perception to enhance the vehicle safety.BACKGROUND OF THE INVENTION[0002]Advanced Driver Assistance Systems (ADAS) / self driving is one of the fastest-growing fields in automotive electronics. ADAS / self-driving is developed to improve the safety and efficiency of vehicle systems. There are mainly three approaches to implement ADAS / self-driving: (1) non-cooperative sensor fusion; (2) GPS navigation / vehicle-to-X networks used as cooperative sensors; (3) fusion of non-cooperative and cooperative sensors.[0003]More and more vehicles are being equipped with radar systems including radio frequency (RF) radar and laser radar (LIDAR) to provide various safety functions such as Adaptive Cruise Control (ACC), Forward Collision Warning (FCW), Automatic Emergency Braking (AEB), and Lane Departure Warning ...

Claims

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Application Information

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IPC IPC(8): G01S7/02G01S13/00
CPCG01S7/023G01S13/003G01S13/345G01S13/862G01S13/865G01S13/867G01S13/878G01S13/931G01S2013/93274G01S2013/93272G01S2013/93271G01S7/0232G01S7/0235G01S7/0236
Inventor LI, WENHUAXU, MIN
Owner LI WENHUA
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